Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
competence in seismic data analysis is a requirement. Experience from or competence in computer programming (MATLAB, Python) is an advantage. Applicants must be able to work independently and in a structured
-
or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious, creative, resilient, meticulous in their research, and has a collaborative spirit. Employment in
-
Python) Strong written and oral communication skills In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis or equivalent, and any
-
-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
-
skills (preferably Python), for example with contributions to open-source projects, with an active Github account. Documented fluency in English and ability to work in an international environment. Nordic
-
algebra, and/or statistics Documented knowledge and experience in Python programming Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
-
good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB programming languages would suit the project requirements
-
Experience with spectroscopy, either absorption or Raman Good programming skills (preferably Python) Strong written and oral communication skills In the assessment, the emphasis is on the applicant's potential
-
the master's degree has been awarded. The candidate must have good knowledge in the topic of Cryosheric Processes. Proficiency in scientific coding and data analysis programming languages, such as Python
-
. Proficiency in relevant programming languages (e.g., Python, MATLAB, R) is a requirement. Familiarity with downscaling and bias correction of climate data (e.g., from CMIP/PMIP) is an advantage. Experience with